Dataset statistics
| Number of variables | 24 |
|---|---|
| Number of observations | 2617 |
| Missing cells | 4983 |
| Missing cells (%) | 7.9% |
| Duplicate rows | 49 |
| Duplicate rows (%) | 1.9% |
| Total size in memory | 490.8 KiB |
| Average record size in memory | 192.1 B |
Variable types
| Numeric | 12 |
|---|---|
| Categorical | 4 |
| DateTime | 5 |
| Text | 3 |
| Dataset has 49 (1.9%) duplicate rows | Duplicates |
area is highly overall correlated with pond_length and 2 other fields | High correlation |
id is highly overall correlated with pond_id | High correlation |
pond_depth is highly overall correlated with species_id | High correlation |
pond_id is highly overall correlated with id and 1 other fields | High correlation |
pond_length is highly overall correlated with area and 2 other fields | High correlation |
pond_width is highly overall correlated with area and 3 other fields | High correlation |
species_id is highly overall correlated with pond_depth and 4 other fields | High correlation |
target_cultivation_day is highly overall correlated with species_id | High correlation |
total_seed is highly overall correlated with area and 1 other fields | High correlation |
extracted_at is highly imbalanced (97.0%) | Imbalance |
subscription_type is highly imbalanced (61.5%) | Imbalance |
species_id has 814 (31.1%) missing values | Missing |
remark has 1281 (48.9%) missing values | Missing |
initial_age has 48 (1.8%) missing values | Missing |
ordered_at has 1523 (58.2%) missing values | Missing |
hatchery_id has 465 (17.8%) missing values | Missing |
total_seed_type has 242 (9.2%) missing values | Missing |
hatchery_name has 465 (17.8%) missing values | Missing |
pond_depth has 118 (4.5%) missing values | Missing |
area is highly skewed (γ1 = 25.54805684) | Skewed |
limit_weight_per_area is highly skewed (γ1 = 33.62644159) | Skewed |
target_size is highly skewed (γ1 = 28.2975653) | Skewed |
pond_depth is highly skewed (γ1 = 49.59306466) | Skewed |
initial_age has 2199 (84.0%) zeros | Zeros |
Reproduction
| Analysis started | 2024-08-14 09:27:37.939511 |
|---|---|
| Analysis finished | 2024-08-14 09:28:12.240290 |
| Duration | 34.3 seconds |
| Software version | ydata-profiling vv4.9.0 |
| Download configuration | config.json |
id
Real number (ℝ)
HIGH CORRELATION
| Distinct | 2500 |
|---|---|
| Distinct (%) | 95.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19900.667 |
| Minimum | 3458 |
|---|---|
| Maximum | 29874 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 3458 |
|---|---|
| 5-th percentile | 8941.2 |
| Q1 | 16091 |
| median | 20401 |
| Q3 | 24804 |
| 95-th percentile | 27960.8 |
| Maximum | 29874 |
| Range | 26416 |
| Interquartile range (IQR) | 8713 |
Descriptive statistics
| Standard deviation | 6006.8024 |
|---|---|
| Coefficient of variation (CV) | 0.30183925 |
| Kurtosis | -0.41509212 |
| Mean | 19900.667 |
| Median Absolute Deviation (MAD) | 4353 |
| Skewness | -0.53693061 |
| Sum | 52080046 |
| Variance | 36081675 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20124 | 4 | 0.2% |
| 20189 | 4 | 0.2% |
| 20190 | 4 | 0.2% |
| 24519 | 3 | 0.1% |
| 24304 | 3 | 0.1% |
| 23328 | 3 | 0.1% |
| 23945 | 3 | 0.1% |
| 24308 | 3 | 0.1% |
| 23327 | 3 | 0.1% |
| 24522 | 3 | 0.1% |
| Other values (2490) | 2584 |
| Value | Count | Frequency (%) |
| 3458 | 1 | |
| 3459 | 1 | |
| 4036 | 1 | |
| 4038 | 1 | |
| 4039 | 1 | |
| 4044 | 1 | |
| 4045 | 1 | |
| 4046 | 1 | |
| 4047 | 1 | |
| 4048 | 1 |
| Value | Count | Frequency (%) |
| 29874 | 1 | |
| 29873 | 1 | |
| 29679 | 1 | |
| 29659 | 1 | |
| 29619 | 1 | |
| 29597 | 1 | |
| 29579 | 1 | |
| 29557 | 1 | |
| 29518 | 1 | |
| 29513 | 1 |
pond_id
Real number (ℝ)
HIGH CORRELATION
| Distinct | 1675 |
|---|---|
| Distinct (%) | 64.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32218.569 |
| Minimum | 1 |
|---|---|
| Maximum | 47282 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 12549.8 |
| Q1 | 24570 |
| median | 34697 |
| Q3 | 38943 |
| 95-th percentile | 45364.2 |
| Maximum | 47282 |
| Range | 47281 |
| Interquartile range (IQR) | 14373 |
Descriptive statistics
| Standard deviation | 10156.254 |
|---|---|
| Coefficient of variation (CV) | 0.31522984 |
| Kurtosis | 0.28399642 |
| Mean | 32218.569 |
| Median Absolute Deviation (MAD) | 5224 |
| Skewness | -0.91142781 |
| Sum | 84315995 |
| Variance | 1.031495 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24265 | 8 | 0.3% |
| 34746 | 8 | 0.3% |
| 24569 | 8 | 0.3% |
| 34748 | 7 | 0.3% |
| 30344 | 7 | 0.3% |
| 38474 | 6 | 0.2% |
| 37209 | 6 | 0.2% |
| 21226 | 6 | 0.2% |
| 37102 | 6 | 0.2% |
| 33945 | 6 | 0.2% |
| Other values (1665) | 2549 |
| Value | Count | Frequency (%) |
| 1 | 5 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 11 | 1 | < 0.1% |
| 6738 | 3 |
| Value | Count | Frequency (%) |
| 47282 | 1 | |
| 47109 | 1 | |
| 47108 | 1 | |
| 47107 | 1 | |
| 47103 | 1 | |
| 47090 | 1 | |
| 47061 | 1 | |
| 47000 | 1 | |
| 46978 | 1 | |
| 46910 | 1 |
species_id
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 814 |
| Missing (%) | 31.1% |
| Memory size | 20.6 KiB |
| 1.0 | |
|---|---|
| 2.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5409 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1598 | |
| 2.0 | 205 | 7.8% |
| (Missing) | 814 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 1598 | |
| 2.0 | 205 | 11.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 1803 | |
| 0 | 1803 | |
| 1 | 1598 | |
| 2 | 205 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5409 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 1803 | |
| 0 | 1803 | |
| 1 | 1598 | |
| 2 | 205 | 3.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5409 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 1803 | |
| 0 | 1803 | |
| 1 | 1598 | |
| 2 | 205 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5409 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 1803 | |
| 0 | 1803 | |
| 1 | 1598 | |
| 2 | 205 | 3.8% |
total_seed
Real number (ℝ)
HIGH CORRELATION
| Distinct | 868 |
|---|---|
| Distinct (%) | 33.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 219755.17 |
| Minimum | 10 |
|---|---|
| Maximum | 1800000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 25500 |
| Q1 | 96000 |
| median | 194392 |
| Q3 | 300000 |
| 95-th percentile | 500000 |
| Maximum | 1800000 |
| Range | 1799990 |
| Interquartile range (IQR) | 204000 |
Descriptive statistics
| Standard deviation | 171097.99 |
|---|---|
| Coefficient of variation (CV) | 0.77858459 |
| Kurtosis | 9.1539471 |
| Mean | 219755.17 |
| Median Absolute Deviation (MAD) | 105608 |
| Skewness | 2.008268 |
| Sum | 5.7509929 × 108 |
| Variance | 2.9274523 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100000 | 126 | 4.8% |
| 50000 | 112 | 4.3% |
| 200000 | 86 | 3.3% |
| 300000 | 84 | 3.2% |
| 150000 | 79 | 3.0% |
| 275000 | 60 | 2.3% |
| 325000 | 54 | 2.1% |
| 250000 | 54 | 2.1% |
| 75000 | 51 | 1.9% |
| 40000 | 40 | 1.5% |
| Other values (858) | 1871 |
| Value | Count | Frequency (%) |
| 10 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| 60 | 1 | < 0.1% |
| 100 | 3 | |
| 237 | 1 | < 0.1% |
| 300 | 1 | < 0.1% |
| 1272 | 2 | |
| 1908 | 2 | |
| 2543 | 1 | < 0.1% |
| 2800 | 2 |
| Value | Count | Frequency (%) |
| 1800000 | 1 | < 0.1% |
| 1600000 | 1 | < 0.1% |
| 1400000 | 1 | < 0.1% |
| 1377414 | 1 | < 0.1% |
| 1300000 | 1 | < 0.1% |
| 1200000 | 4 | |
| 1145064 | 1 | < 0.1% |
| 1080000 | 2 | |
| 1037458 | 1 | < 0.1% |
| 1000000 | 1 | < 0.1% |
started_at
Date
| Distinct | 750 |
|---|---|
| Distinct (%) | 28.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
| Minimum | 2020-03-07 00:00:00 |
|---|---|
| Maximum | 2024-02-18 00:00:00 |
Histogram with fixed size bins (bins=50)
finished_at
Date
| Distinct | 857 |
|---|---|
| Distinct (%) | 32.8% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 20.6 KiB |
| Minimum | 2020-05-20 00:00:00 |
|---|---|
| Maximum | 2024-04-02 00:00:00 |
Histogram with fixed size bins (bins=50)
remark
Text
MISSING
| Distinct | 67 |
|---|---|
| Distinct (%) | 5.0% |
| Missing | 1281 |
| Missing (%) | 48.9% |
| Memory size | 20.6 KiB |
Length
| Max length | 117 |
|---|---|
| Median length | 63 |
| Mean length | 11.355539 |
| Min length | 3 |
Characters and Unicode
| Total characters | 15171 |
|---|---|
| Distinct characters | 62 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 26 ? |
|---|---|
| Unique (%) | 1.9% |
Sample
| 1st row | #TBR01 |
|---|---|
| 2nd row | #SiklusFarm |
| 3rd row | #SiklusCustomerPermadi |
| 4th row | #SiklusTebar |
| 5th row | #SiklusFarm |
| Value | Count | Frequency (%) |
| siklusfarm | 276 | |
| tbr01 | 185 | 13.2% |
| siklustebar | 183 | 13.0% |
| vietproject23 | 87 | 6.2% |
| jt12 | 37 | 2.6% |
| sikluscustomerrizky | 32 | 2.3% |
| tbrjember2024 | 31 | 2.2% |
| siklusbdrisda | 30 | 2.1% |
| siklusbdrijal | 27 | 1.9% |
| bd-katalis02 | 24 | 1.7% |
| Other values (100) | 492 |
Most occurring characters
| Value | Count | Frequency (%) |
| # | 1326 | 8.7% |
| i | 1112 | 7.3% |
| a | 1026 | 6.8% |
| s | 939 | 6.2% |
| l | 859 | 5.7% |
| u | 784 | 5.2% |
| r | 715 | 4.7% |
| k | 712 | 4.7% |
| S | 689 | 4.5% |
| B | 611 | 4.0% |
| Other values (52) | 6398 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15171 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| # | 1326 | 8.7% |
| i | 1112 | 7.3% |
| a | 1026 | 6.8% |
| s | 939 | 6.2% |
| l | 859 | 5.7% |
| u | 784 | 5.2% |
| r | 715 | 4.7% |
| k | 712 | 4.7% |
| S | 689 | 4.5% |
| B | 611 | 4.0% |
| Other values (52) | 6398 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15171 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| # | 1326 | 8.7% |
| i | 1112 | 7.3% |
| a | 1026 | 6.8% |
| s | 939 | 6.2% |
| l | 859 | 5.7% |
| u | 784 | 5.2% |
| r | 715 | 4.7% |
| k | 712 | 4.7% |
| S | 689 | 4.5% |
| B | 611 | 4.0% |
| Other values (52) | 6398 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15171 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| # | 1326 | 8.7% |
| i | 1112 | 7.3% |
| a | 1026 | 6.8% |
| s | 939 | 6.2% |
| l | 859 | 5.7% |
| u | 784 | 5.2% |
| r | 715 | 4.7% |
| k | 712 | 4.7% |
| S | 689 | 4.5% |
| B | 611 | 4.0% |
| Other values (52) | 6398 |
created_at
Date
| Distinct | 2325 |
|---|---|
| Distinct (%) | 88.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
| Minimum | 2020-02-19 08:44:53 |
|---|---|
| Maximum | 2024-03-05 13:10:13 |
Histogram with fixed size bins (bins=50)
updated_at
Date
| Distinct | 2289 |
|---|---|
| Distinct (%) | 87.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
| Minimum | 2020-06-03 02:44:52 |
|---|---|
| Maximum | 2024-04-09 00:06:26 |
Histogram with fixed size bins (bins=50)
area
Real number (ℝ)
HIGH CORRELATION SKEWED
| Distinct | 648 |
|---|---|
| Distinct (%) | 24.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2292.6737 |
| Minimum | 1.02 |
|---|---|
| Maximum | 422500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 1.02 |
|---|---|
| 5-th percentile | 118.62 |
| Q1 | 810 |
| median | 1400 |
| Q3 | 2358 |
| 95-th percentile | 4999.9 |
| Maximum | 422500 |
| Range | 422498.98 |
| Interquartile range (IQR) | 1548 |
Descriptive statistics
| Standard deviation | 12104.748 |
|---|---|
| Coefficient of variation (CV) | 5.2797521 |
| Kurtosis | 732.1952 |
| Mean | 2292.6737 |
| Median Absolute Deviation (MAD) | 682 |
| Skewness | 25.548057 |
| Sum | 5999927 |
| Variance | 1.4652494 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2500 | 155 | 5.9% |
| 4999.9 | 155 | 5.9% |
| 1000 | 146 | 5.6% |
| 1600 | 108 | 4.1% |
| 2000 | 82 | 3.1% |
| 1200 | 66 | 2.5% |
| 1500 | 51 | 1.9% |
| 900 | 50 | 1.9% |
| 35 | 49 | 1.9% |
| 600 | 38 | 1.5% |
| Other values (638) | 1717 |
| Value | Count | Frequency (%) |
| 1.02 | 2 | 0.1% |
| 2.23 | 1 | < 0.1% |
| 6.9 | 1 | < 0.1% |
| 7 | 12 | |
| 7.07 | 9 | |
| 10 | 1 | < 0.1% |
| 19.62 | 9 | |
| 19.63 | 4 | 0.2% |
| 20 | 2 | 0.1% |
| 28.27 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 422500 | 1 | |
| 249998 | 1 | |
| 240000 | 1 | |
| 200000 | 2 | |
| 40000 | 2 | |
| 32000 | 1 | |
| 30000 | 1 | |
| 16000 | 1 | |
| 15000 | 2 | |
| 13000 | 1 |
initial_age
Real number (ℝ)
MISSING ZEROS
| Distinct | 38 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 48 |
| Missing (%) | 1.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.70494356 |
| Minimum | 0 |
|---|---|
| Maximum | 75 |
| Zeros | 2199 |
| Zeros (%) | 84.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 75 |
| Range | 75 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 4.7448261 |
|---|---|
| Coefficient of variation (CV) | 6.7307887 |
| Kurtosis | 128.08993 |
| Mean | 0.70494356 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 10.586843 |
| Sum | 1811 |
| Variance | 22.513375 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 0 | 2199 | |
| 1 | 301 | 11.5% |
| 10 | 9 | 0.3% |
| 5 | 4 | 0.2% |
| 12 | 4 | 0.2% |
| 3 | 4 | 0.2% |
| 6 | 3 | 0.1% |
| 8 | 3 | 0.1% |
| 15 | 3 | 0.1% |
| 20 | 3 | 0.1% |
| Other values (28) | 36 | 1.4% |
| (Missing) | 48 | 1.8% |
| Value | Count | Frequency (%) |
| 0 | 2199 | |
| 1 | 301 | 11.5% |
| 2 | 3 | 0.1% |
| 3 | 4 | 0.2% |
| 4 | 2 | 0.1% |
| 5 | 4 | 0.2% |
| 6 | 3 | 0.1% |
| 7 | 1 | < 0.1% |
| 8 | 3 | 0.1% |
| 10 | 9 | 0.3% |
| Value | Count | Frequency (%) |
| 75 | 2 | |
| 69 | 1 | |
| 66 | 1 | |
| 64 | 1 | |
| 61 | 1 | |
| 58 | 1 | |
| 49 | 1 | |
| 45 | 1 | |
| 42 | 1 | |
| 40 | 1 |
limit_weight_per_area
Real number (ℝ)
SKEWED
| Distinct | 25 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 7 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.5594521 |
| Minimum | 0.6 |
|---|---|
| Maximum | 270 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 0.6 |
|---|---|
| 5-th percentile | 1.25 |
| Q1 | 1.25 |
| median | 1.25 |
| Q3 | 1.25 |
| 95-th percentile | 2 |
| Maximum | 270 |
| Range | 269.4 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 6.6408457 |
|---|---|
| Coefficient of variation (CV) | 4.258448 |
| Kurtosis | 1213.0052 |
| Mean | 1.5594521 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 33.626442 |
| Sum | 4070.17 |
| Variance | 44.100831 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 1.25 | 2336 | |
| 1.2 | 66 | 2.5% |
| 2.5 | 34 | 1.3% |
| 2 | 29 | 1.1% |
| 2.4 | 29 | 1.1% |
| 1 | 21 | 0.8% |
| 3 | 18 | 0.7% |
| 1.5 | 18 | 0.7% |
| 3.5 | 14 | 0.5% |
| 4 | 13 | 0.5% |
| Other values (15) | 32 | 1.2% |
| (Missing) | 7 | 0.3% |
| Value | Count | Frequency (%) |
| 0.6 | 1 | < 0.1% |
| 1 | 21 | 0.8% |
| 1.1 | 1 | < 0.1% |
| 1.2 | 66 | 2.5% |
| 1.23 | 1 | < 0.1% |
| 1.25 | 2336 | |
| 1.3 | 5 | 0.2% |
| 1.5 | 18 | 0.7% |
| 1.6 | 2 | 0.1% |
| 2 | 29 | 1.1% |
| Value | Count | Frequency (%) |
| 270 | 1 | < 0.1% |
| 166 | 1 | < 0.1% |
| 125 | 1 | < 0.1% |
| 13.9 | 1 | < 0.1% |
| 4.77 | 2 | 0.1% |
| 4.7 | 1 | < 0.1% |
| 4.5 | 5 | 0.2% |
| 4.25 | 3 | 0.1% |
| 4 | 13 | |
| 3.5 | 14 |
target_cultivation_day
Real number (ℝ)
HIGH CORRELATION
| Distinct | 121 |
|---|---|
| Distinct (%) | 4.6% |
| Missing | 3 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 112.59181 |
| Minimum | 0 |
|---|---|
| Maximum | 348 |
| Zeros | 3 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 90 |
| Q1 | 100 |
| median | 120 |
| Q3 | 120 |
| 95-th percentile | 148 |
| Maximum | 348 |
| Range | 348 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 23.564663 |
|---|---|
| Coefficient of variation (CV) | 0.20929286 |
| Kurtosis | 10.29678 |
| Mean | 112.59181 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.76177839 |
| Sum | 294315 |
| Variance | 555.29333 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 120 | 1193 | |
| 100 | 664 | |
| 90 | 79 | 3.0% |
| 140 | 56 | 2.1% |
| 110 | 51 | 1.9% |
| 95 | 48 | 1.8% |
| 130 | 47 | 1.8% |
| 105 | 39 | 1.5% |
| 150 | 34 | 1.3% |
| 160 | 17 | 0.6% |
| Other values (111) | 386 | 14.7% |
| Value | Count | Frequency (%) |
| 0 | 3 | |
| 5 | 4 | |
| 6 | 2 | 0.1% |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 1 | < 0.1% |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 6 |
| Value | Count | Frequency (%) |
| 348 | 1 | < 0.1% |
| 238 | 1 | < 0.1% |
| 220 | 1 | < 0.1% |
| 200 | 2 | 0.1% |
| 194 | 2 | 0.1% |
| 189 | 3 | 0.1% |
| 185 | 8 | |
| 179 | 2 | 0.1% |
| 178 | 3 | 0.1% |
| 175 | 2 | 0.1% |
target_size
Real number (ℝ)
SKEWED
| Distinct | 31 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 4 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.696135 |
| Minimum | 0 |
|---|---|
| Maximum | 1000 |
| Zeros | 2 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 45 |
| median | 55 |
| Q3 | 55 |
| 95-th percentile | 60 |
| Maximum | 1000 |
| Range | 1000 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 22.803397 |
|---|---|
| Coefficient of variation (CV) | 0.43273377 |
| Kurtosis | 1144.5869 |
| Mean | 52.696135 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 28.297565 |
| Sum | 137695 |
| Variance | 519.99492 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 55 | 1578 | |
| 45 | 507 | 19.4% |
| 40 | 143 | 5.5% |
| 50 | 87 | 3.3% |
| 30 | 73 | 2.8% |
| 60 | 39 | 1.5% |
| 70 | 28 | 1.1% |
| 100 | 27 | 1.0% |
| 20 | 22 | 0.8% |
| 35 | 18 | 0.7% |
| Other values (21) | 91 | 3.5% |
| Value | Count | Frequency (%) |
| 0 | 2 | 0.1% |
| 20 | 22 | 0.8% |
| 25 | 11 | 0.4% |
| 28 | 1 | < 0.1% |
| 30 | 73 | |
| 32 | 8 | 0.3% |
| 33 | 2 | 0.1% |
| 35 | 18 | 0.7% |
| 36 | 1 | < 0.1% |
| 37 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1000 | 1 | < 0.1% |
| 200 | 5 | 0.2% |
| 150 | 6 | 0.2% |
| 120 | 10 | 0.4% |
| 110 | 1 | < 0.1% |
| 108 | 1 | < 0.1% |
| 100 | 27 | |
| 90 | 3 | 0.1% |
| 86 | 1 | < 0.1% |
| 85 | 1 | < 0.1% |
extracted_at
Categorical
IMBALANCE
| Distinct | 18 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
| 2024-04-12 17:02:22.000 | |
|---|---|
| 2023-05-18 17:02:11.000 | 5 |
| 2023-09-05 17:02:11.000 | 3 |
| 2023-04-21 17:02:11.000 | 3 |
| 2023-12-17 17:02:21.000 | 2 |
| Other values (13) | 15 |
Length
| Max length | 23 |
|---|---|
| Median length | 23 |
| Mean length | 23 |
| Min length | 23 |
Characters and Unicode
| Total characters | 60191 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | 2024-04-12 17:02:22.000 |
|---|---|
| 2nd row | 2024-04-12 17:02:22.000 |
| 3rd row | 2024-04-12 17:02:22.000 |
| 4th row | 2024-04-12 17:02:22.000 |
| 5th row | 2024-04-12 17:02:22.000 |
Common Values
| Value | Count | Frequency (%) |
| 2024-04-12 17:02:22.000 | 2589 | |
| 2023-05-18 17:02:11.000 | 5 | 0.2% |
| 2023-09-05 17:02:11.000 | 3 | 0.1% |
| 2023-04-21 17:02:11.000 | 3 | 0.1% |
| 2023-12-17 17:02:21.000 | 2 | 0.1% |
| 2023-04-09 17:02:10.000 | 2 | 0.1% |
| 2022-12-28 17:02:11.000 | 2 | 0.1% |
| 2023-10-22 17:08:10.000 | 1 | < 0.1% |
| 2023-04-20 17:02:11.000 | 1 | < 0.1% |
| 2023-12-21 17:02:21.000 | 1 | < 0.1% |
| Other values (8) | 8 | 0.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2024-04-12 | 2589 | |
| 17:02:22.000 | 2589 | |
| 17:02:11.000 | 20 | 0.4% |
| 2023-05-18 | 5 | 0.1% |
| 17:02:10.000 | 4 | 0.1% |
| 2023-09-05 | 3 | 0.1% |
| 2023-04-21 | 3 | 0.1% |
| 17:02:21.000 | 3 | 0.1% |
| 2023-12-17 | 2 | < 0.1% |
| 2023-04-09 | 2 | < 0.1% |
| Other values (13) | 14 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 15711 | |
| 2 | 15642 | |
| 1 | 5276 | 8.8% |
| - | 5234 | 8.7% |
| : | 5234 | 8.7% |
| 4 | 5185 | 8.6% |
| 7 | 2622 | 4.4% |
| 2617 | 4.3% | |
| . | 2617 | 4.3% |
| 3 | 25 | < 0.1% |
| Other values (4) | 28 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 60191 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15711 | |
| 2 | 15642 | |
| 1 | 5276 | 8.8% |
| - | 5234 | 8.7% |
| : | 5234 | 8.7% |
| 4 | 5185 | 8.6% |
| 7 | 2622 | 4.4% |
| 2617 | 4.3% | |
| . | 2617 | 4.3% |
| 3 | 25 | < 0.1% |
| Other values (4) | 28 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 60191 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15711 | |
| 2 | 15642 | |
| 1 | 5276 | 8.8% |
| - | 5234 | 8.7% |
| : | 5234 | 8.7% |
| 4 | 5185 | 8.6% |
| 7 | 2622 | 4.4% |
| 2617 | 4.3% | |
| . | 2617 | 4.3% |
| 3 | 25 | < 0.1% |
| Other values (4) | 28 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 60191 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 15711 | |
| 2 | 15642 | |
| 1 | 5276 | 8.8% |
| - | 5234 | 8.7% |
| : | 5234 | 8.7% |
| 4 | 5185 | 8.6% |
| 7 | 2622 | 4.4% |
| 2617 | 4.3% | |
| . | 2617 | 4.3% |
| 3 | 25 | < 0.1% |
| Other values (4) | 28 | < 0.1% |
subscription_type
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
| Free | |
|---|---|
| Paid | 197 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 10468 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Free |
|---|---|
| 2nd row | Free |
| 3rd row | Free |
| 4th row | Free |
| 5th row | Free |
Common Values
| Value | Count | Frequency (%) |
| Free | 2420 | |
| Paid | 197 | 7.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| free | 2420 | |
| paid | 197 | 7.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 4840 | |
| F | 2420 | |
| r | 2420 | |
| P | 197 | 1.9% |
| a | 197 | 1.9% |
| i | 197 | 1.9% |
| d | 197 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 10468 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 4840 | |
| F | 2420 | |
| r | 2420 | |
| P | 197 | 1.9% |
| a | 197 | 1.9% |
| i | 197 | 1.9% |
| d | 197 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 10468 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 4840 | |
| F | 2420 | |
| r | 2420 | |
| P | 197 | 1.9% |
| a | 197 | 1.9% |
| i | 197 | 1.9% |
| d | 197 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 10468 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 4840 | |
| F | 2420 | |
| r | 2420 | |
| P | 197 | 1.9% |
| a | 197 | 1.9% |
| i | 197 | 1.9% |
| d | 197 | 1.9% |
ordered_at
Date
MISSING
| Distinct | 865 |
|---|---|
| Distinct (%) | 79.1% |
| Missing | 1523 |
| Missing (%) | 58.2% |
| Memory size | 20.6 KiB |
| Minimum | 2020-02-19 08:44:53 |
|---|---|
| Maximum | 2024-03-05 13:10:13 |
Histogram with fixed size bins (bins=50)
hatchery_id
Real number (ℝ)
MISSING
| Distinct | 80 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 465 |
| Missing (%) | 17.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 412.30437 |
| Minimum | 1 |
|---|---|
| Maximum | 1077 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 35 |
| median | 83 |
| Q3 | 1004 |
| 95-th percentile | 1049 |
| Maximum | 1077 |
| Range | 1076 |
| Interquartile range (IQR) | 969 |
Descriptive statistics
| Standard deviation | 472.51801 |
|---|---|
| Coefficient of variation (CV) | 1.1460417 |
| Kurtosis | -1.7294678 |
| Mean | 412.30437 |
| Median Absolute Deviation (MAD) | 63 |
| Skewness | 0.50986801 |
| Sum | 887279 |
| Variance | 223273.27 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 83 | 303 | 11.6% |
| 1020 | 211 | 8.1% |
| 1004 | 143 | 5.5% |
| 24 | 121 | 4.6% |
| 3 | 115 | 4.4% |
| 1000 | 99 | 3.8% |
| 66 | 90 | 3.4% |
| 51 | 80 | 3.1% |
| 4 | 53 | 2.0% |
| 26 | 53 | 2.0% |
| Other values (70) | 884 | |
| (Missing) | 465 |
| Value | Count | Frequency (%) |
| 1 | 3 | 0.1% |
| 3 | 115 | |
| 4 | 53 | |
| 11 | 4 | 0.2% |
| 15 | 8 | 0.3% |
| 16 | 26 | 1.0% |
| 18 | 1 | < 0.1% |
| 19 | 23 | 0.9% |
| 20 | 37 | 1.4% |
| 23 | 11 | 0.4% |
| Value | Count | Frequency (%) |
| 1077 | 1 | < 0.1% |
| 1076 | 2 | 0.1% |
| 1070 | 8 | |
| 1068 | 7 | |
| 1067 | 3 | 0.1% |
| 1065 | 15 | |
| 1064 | 4 | 0.2% |
| 1059 | 2 | 0.1% |
| 1058 | 1 | < 0.1% |
| 1057 | 12 |
total_seed_type
Categorical
MISSING
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 242 |
| Missing (%) | 9.2% |
| Memory size | 20.6 KiB |
| net | |
|---|---|
| actual | |
| gross |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 4.5237895 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10744 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | net |
|---|---|
| 2nd row | net |
| 3rd row | gross |
| 4th row | actual |
| 5th row | net |
Common Values
| Value | Count | Frequency (%) |
| net | 1018 | |
| actual | 905 | |
| gross | 452 | |
| (Missing) | 242 | 9.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| net | 1018 | |
| actual | 905 | |
| gross | 452 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 1923 | |
| a | 1810 | |
| n | 1018 | |
| e | 1018 | |
| c | 905 | |
| u | 905 | |
| l | 905 | |
| s | 904 | |
| g | 452 | 4.2% |
| r | 452 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 10744 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| t | 1923 | |
| a | 1810 | |
| n | 1018 | |
| e | 1018 | |
| c | 905 | |
| u | 905 | |
| l | 905 | |
| s | 904 | |
| g | 452 | 4.2% |
| r | 452 | 4.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 10744 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| t | 1923 | |
| a | 1810 | |
| n | 1018 | |
| e | 1018 | |
| c | 905 | |
| u | 905 | |
| l | 905 | |
| s | 904 | |
| g | 452 | 4.2% |
| r | 452 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 10744 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| t | 1923 | |
| a | 1810 | |
| n | 1018 | |
| e | 1018 | |
| c | 905 | |
| u | 905 | |
| l | 905 | |
| s | 904 | |
| g | 452 | 4.2% |
| r | 452 | 4.2% |
hatchery_name
Text
MISSING
| Distinct | 79 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 465 |
| Missing (%) | 17.8% |
| Memory size | 20.6 KiB |
Length
| Max length | 63 |
|---|---|
| Median length | 49 |
| Mean length | 23.35223 |
| Min length | 2 |
Characters and Unicode
| Total characters | 50254 |
|---|---|
| Distinct characters | 68 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11 ? |
|---|---|
| Unique (%) | 0.5% |
Sample
| 1st row | UD. Benur Ndaru Laut |
|---|---|
| 2nd row | CV Raja Benur |
| 3rd row | PT. Tri Karta Pratama - Total Kualitas Prima |
| 4th row | PT. Central Proteinaprima Tbk |
| 5th row | PT Windu Alam Sentosa |
| Value | Count | Frequency (%) |
| pt | 1115 | 13.2% |
| benur | 480 | 5.7% |
| hatchery | 414 | 4.9% |
| cv | 402 | 4.8% |
| prima | 376 | 4.5% |
| raja | 303 | 3.6% |
| tani | 260 | 3.1% |
| suri | 259 | 3.1% |
| 245 | 2.9% | |
| pemuka | 237 | 2.8% |
| Other values (142) | 4343 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 6407 | 12.7% |
| 6282 | 12.5% | |
| r | 3686 | 7.3% |
| i | 2612 | 5.2% |
| P | 2375 | 4.7% |
| e | 2306 | 4.6% |
| t | 2200 | 4.4% |
| n | 2172 | 4.3% |
| T | 2085 | 4.1% |
| u | 1955 | 3.9% |
| Other values (58) | 18174 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 50254 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 6407 | 12.7% |
| 6282 | 12.5% | |
| r | 3686 | 7.3% |
| i | 2612 | 5.2% |
| P | 2375 | 4.7% |
| e | 2306 | 4.6% |
| t | 2200 | 4.4% |
| n | 2172 | 4.3% |
| T | 2085 | 4.1% |
| u | 1955 | 3.9% |
| Other values (58) | 18174 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 50254 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 6407 | 12.7% |
| 6282 | 12.5% | |
| r | 3686 | 7.3% |
| i | 2612 | 5.2% |
| P | 2375 | 4.7% |
| e | 2306 | 4.6% |
| t | 2200 | 4.4% |
| n | 2172 | 4.3% |
| T | 2085 | 4.1% |
| u | 1955 | 3.9% |
| Other values (58) | 18174 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 50254 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 6407 | 12.7% |
| 6282 | 12.5% | |
| r | 3686 | 7.3% |
| i | 2612 | 5.2% |
| P | 2375 | 4.7% |
| e | 2306 | 4.6% |
| t | 2200 | 4.4% |
| n | 2172 | 4.3% |
| T | 2085 | 4.1% |
| u | 1955 | 3.9% |
| Other values (58) | 18174 |
pond_name
Text
| Distinct | 641 |
|---|---|
| Distinct (%) | 24.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 20.6 KiB |
Length
| Max length | 27 |
|---|---|
| Median length | 2 |
| Mean length | 3.8085594 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9967 |
|---|---|
| Distinct characters | 69 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 307 ? |
|---|---|
| Unique (%) | 11.7% |
Sample
| 1st row | H |
|---|---|
| 2nd row | A1 |
| 3rd row | A3 |
| 4th row | B4 |
| 5th row | A |
| Value | Count | Frequency (%) |
| a1 | 323 | 10.0% |
| 1 | 157 | 4.9% |
| a2 | 151 | 4.7% |
| kolam | 146 | 4.5% |
| a | 113 | 3.5% |
| petak | 79 | 2.5% |
| 2 | 78 | 2.4% |
| a3 | 72 | 2.2% |
| b | 51 | 1.6% |
| a4 | 49 | 1.5% |
| Other values (556) | 1999 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 1121 | 11.2% |
| 1 | 1044 | 10.5% |
| 601 | 6.0% | |
| 2 | 554 | 5.6% |
| a | 528 | 5.3% |
| B | 457 | 4.6% |
| 3 | 312 | 3.1% |
| 0 | 288 | 2.9% |
| K | 286 | 2.9% |
| o | 232 | 2.3% |
| Other values (59) | 4544 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9967 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 1121 | 11.2% |
| 1 | 1044 | 10.5% |
| 601 | 6.0% | |
| 2 | 554 | 5.6% |
| a | 528 | 5.3% |
| B | 457 | 4.6% |
| 3 | 312 | 3.1% |
| 0 | 288 | 2.9% |
| K | 286 | 2.9% |
| o | 232 | 2.3% |
| Other values (59) | 4544 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9967 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 1121 | 11.2% |
| 1 | 1044 | 10.5% |
| 601 | 6.0% | |
| 2 | 554 | 5.6% |
| a | 528 | 5.3% |
| B | 457 | 4.6% |
| 3 | 312 | 3.1% |
| 0 | 288 | 2.9% |
| K | 286 | 2.9% |
| o | 232 | 2.3% |
| Other values (59) | 4544 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9967 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 1121 | 11.2% |
| 1 | 1044 | 10.5% |
| 601 | 6.0% | |
| 2 | 554 | 5.6% |
| a | 528 | 5.3% |
| B | 457 | 4.6% |
| 3 | 312 | 3.1% |
| 0 | 288 | 2.9% |
| K | 286 | 2.9% |
| o | 232 | 2.3% |
| Other values (59) | 4544 |
pond_length
Real number (ℝ)
HIGH CORRELATION
| Distinct | 339 |
|---|---|
| Distinct (%) | 13.0% |
| Missing | 6 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.169694 |
| Minimum | 3 |
|---|---|
| Maximum | 650 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 12.65 |
| Q1 | 30 |
| median | 40 |
| Q3 | 53 |
| 95-th percentile | 70.71 |
| Maximum | 650 |
| Range | 647 |
| Interquartile range (IQR) | 23 |
Descriptive statistics
| Standard deviation | 26.640087 |
|---|---|
| Coefficient of variation (CV) | 0.60313045 |
| Kurtosis | 178.94377 |
| Mean | 44.169694 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 9.34086 |
| Sum | 115327.07 |
| Variance | 709.69425 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 287 | 11.0% |
| 40 | 225 | 8.6% |
| 30 | 171 | 6.5% |
| 70.71 | 169 | 6.5% |
| 32 | 92 | 3.5% |
| 20 | 81 | 3.1% |
| 60 | 65 | 2.5% |
| 45 | 61 | 2.3% |
| 25 | 54 | 2.1% |
| 36.51 | 52 | 2.0% |
| Other values (329) | 1354 |
| Value | Count | Frequency (%) |
| 3 | 13 | 0.5% |
| 3.5 | 9 | 0.3% |
| 4 | 2 | 0.1% |
| 5 | 15 | 0.6% |
| 6 | 3 | 0.1% |
| 7 | 50 | |
| 8 | 4 | 0.2% |
| 8.5 | 1 | < 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 11 | 0.4% |
| Value | Count | Frequency (%) |
| 650 | 1 | |
| 577.35 | 1 | |
| 400 | 1 | |
| 222.5 | 2 | |
| 200 | 1 | |
| 196 | 2 | |
| 194 | 2 | |
| 192 | 2 | |
| 185 | 1 | |
| 140 | 1 |
pond_width
Real number (ℝ)
HIGH CORRELATION
| Distinct | 384 |
|---|---|
| Distinct (%) | 14.7% |
| Missing | 6 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.299874 |
| Minimum | 1.5 |
|---|---|
| Maximum | 650 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 1.5 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 26.23 |
| median | 34.5 |
| Q3 | 44.72 |
| 95-th percentile | 70.71 |
| Maximum | 650 |
| Range | 648.5 |
| Interquartile range (IQR) | 18.49 |
Descriptive statistics
| Standard deviation | 23.034006 |
|---|---|
| Coefficient of variation (CV) | 0.63454784 |
| Kurtosis | 288.35592 |
| Mean | 36.299874 |
| Median Absolute Deviation (MAD) | 8.8 |
| Skewness | 12.49396 |
| Sum | 94778.97 |
| Variance | 530.56545 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30 | 195 | 7.5% |
| 50 | 180 | 6.9% |
| 40 | 171 | 6.5% |
| 70.71 | 169 | 6.5% |
| 32 | 102 | 3.9% |
| 20 | 94 | 3.6% |
| 25 | 84 | 3.2% |
| 5 | 67 | 2.6% |
| 27.39 | 49 | 1.9% |
| 35 | 46 | 1.8% |
| Other values (374) | 1454 |
| Value | Count | Frequency (%) |
| 1.5 | 1 | < 0.1% |
| 2 | 9 | 0.3% |
| 3 | 13 | 0.5% |
| 5 | 67 | |
| 6 | 5 | 0.2% |
| 7 | 3 | 0.1% |
| 7.75 | 1 | < 0.1% |
| 8 | 2 | 0.1% |
| 8.03 | 5 | 0.2% |
| 8.5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 650 | 1 | < 0.1% |
| 500 | 1 | < 0.1% |
| 433.01 | 1 | < 0.1% |
| 160 | 1 | < 0.1% |
| 100 | 2 | 0.1% |
| 86 | 1 | < 0.1% |
| 83.67 | 1 | < 0.1% |
| 80 | 1 | < 0.1% |
| 75 | 1 | < 0.1% |
| 70.71 | 169 |
pond_depth
Real number (ℝ)
HIGH CORRELATION MISSING SKEWED
| Distinct | 38 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 118 |
| Missing (%) | 4.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.4564346 |
| Minimum | 0.6 |
|---|---|
| Maximum | 13266 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 20.6 KiB |
Quantile statistics
| Minimum | 0.6 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1.3 |
| Q3 | 1.5 |
| 95-th percentile | 2 |
| Maximum | 13266 |
| Range | 13265.4 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 266.00059 |
|---|---|
| Coefficient of variation (CV) | 28.129058 |
| Kurtosis | 2472.3759 |
| Mean | 9.4564346 |
| Median Absolute Deviation (MAD) | 0.2 |
| Skewness | 49.593065 |
| Sum | 23631.63 |
| Variance | 70756.315 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 1 | 605 | |
| 1.5 | 547 | |
| 1.2 | 454 | |
| 1.3 | 188 | 7.2% |
| 2 | 178 | 6.8% |
| 1.6 | 78 | 3.0% |
| 1.1 | 69 | 2.6% |
| 1.4 | 67 | 2.6% |
| 1.8 | 42 | 1.6% |
| 1.25 | 39 | 1.5% |
| Other values (28) | 232 | 8.9% |
| (Missing) | 118 | 4.5% |
| Value | Count | Frequency (%) |
| 0.6 | 3 | 0.1% |
| 0.7 | 13 | 0.5% |
| 0.8 | 27 | 1.0% |
| 0.9 | 28 | 1.1% |
| 1 | 605 | |
| 1.05 | 5 | 0.2% |
| 1.1 | 69 | 2.6% |
| 1.15 | 4 | 0.2% |
| 1.2 | 454 | |
| 1.25 | 39 | 1.5% |
| Value | Count | Frequency (%) |
| 13266 | 1 | < 0.1% |
| 300 | 1 | < 0.1% |
| 160 | 2 | 0.1% |
| 150 | 20 | |
| 140 | 1 | < 0.1% |
| 130 | 3 | 0.1% |
| 120 | 18 | |
| 110 | 2 | 0.1% |
| 75 | 5 | 0.2% |
| 60 | 2 | 0.1% |
| area | extracted_at | hatchery_id | id | initial_age | limit_weight_per_area | pond_depth | pond_id | pond_length | pond_width | species_id | subscription_type | target_cultivation_day | target_size | total_seed | total_seed_type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| area | 1.000 | 0.000 | 0.082 | -0.027 | 0.057 | -0.119 | 0.267 | -0.057 | 0.877 | 0.881 | 0.000 | 0.000 | 0.148 | 0.054 | 0.526 | 0.001 |
| extracted_at | 0.000 | 1.000 | 0.015 | 0.025 | 0.125 | 0.000 | 0.000 | 0.000 | 0.127 | 0.000 | 0.000 | 0.134 | 0.000 | 0.000 | 0.000 | 0.093 |
| hatchery_id | 0.082 | 0.015 | 1.000 | 0.268 | 0.182 | -0.095 | 0.000 | 0.155 | 0.103 | 0.104 | 0.468 | 0.213 | 0.122 | 0.105 | 0.100 | 0.253 |
| id | -0.027 | 0.025 | 0.268 | 1.000 | -0.010 | 0.015 | -0.084 | 0.796 | -0.092 | 0.021 | 0.275 | 0.310 | 0.098 | 0.336 | 0.128 | 0.188 |
| initial_age | 0.057 | 0.125 | 0.182 | -0.010 | 1.000 | -0.015 | 0.074 | 0.038 | 0.028 | 0.055 | 0.000 | 0.184 | -0.055 | 0.073 | 0.188 | 0.101 |
| limit_weight_per_area | -0.119 | 0.000 | -0.095 | 0.015 | -0.015 | 1.000 | 0.035 | -0.026 | -0.135 | -0.082 | 0.000 | 0.000 | -0.016 | -0.057 | 0.107 | 0.016 |
| pond_depth | 0.267 | 0.000 | 0.000 | -0.084 | 0.074 | 0.035 | 1.000 | -0.074 | 0.232 | 0.283 | 1.000 | 0.000 | 0.130 | -0.015 | 0.340 | 0.000 |
| pond_id | -0.057 | 0.000 | 0.155 | 0.796 | 0.038 | -0.026 | -0.074 | 1.000 | -0.114 | 0.005 | 0.571 | 0.221 | 0.095 | 0.238 | 0.064 | 0.294 |
| pond_length | 0.877 | 0.127 | 0.103 | -0.092 | 0.028 | -0.135 | 0.232 | -0.114 | 1.000 | 0.788 | 0.645 | 0.132 | 0.119 | 0.056 | 0.433 | 0.187 |
| pond_width | 0.881 | 0.000 | 0.104 | 0.021 | 0.055 | -0.082 | 0.283 | 0.005 | 0.788 | 1.000 | 0.825 | 0.174 | 0.135 | 0.054 | 0.571 | 0.230 |
| species_id | 0.000 | 0.000 | 0.468 | 0.275 | 0.000 | 0.000 | 1.000 | 0.571 | 0.645 | 0.825 | 1.000 | 0.235 | 0.641 | 0.020 | 0.373 | 0.491 |
| subscription_type | 0.000 | 0.134 | 0.213 | 0.310 | 0.184 | 0.000 | 0.000 | 0.221 | 0.132 | 0.174 | 0.235 | 1.000 | 0.162 | 0.000 | 0.114 | 0.103 |
| target_cultivation_day | 0.148 | 0.000 | 0.122 | 0.098 | -0.055 | -0.016 | 0.130 | 0.095 | 0.119 | 0.135 | 0.641 | 0.162 | 1.000 | -0.112 | -0.038 | 0.177 |
| target_size | 0.054 | 0.000 | 0.105 | 0.336 | 0.073 | -0.057 | -0.015 | 0.238 | 0.056 | 0.054 | 0.020 | 0.000 | -0.112 | 1.000 | 0.056 | 0.000 |
| total_seed | 0.526 | 0.000 | 0.100 | 0.128 | 0.188 | 0.107 | 0.340 | 0.064 | 0.433 | 0.571 | 0.373 | 0.114 | -0.038 | 0.056 | 1.000 | 0.219 |
| total_seed_type | 0.001 | 0.093 | 0.253 | 0.188 | 0.101 | 0.016 | 0.000 | 0.294 | 0.187 | 0.230 | 0.491 | 0.103 | 0.177 | 0.000 | 0.219 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| id | pond_id | species_id | total_seed | started_at | finished_at | remark | created_at | updated_at | area | initial_age | limit_weight_per_area | target_cultivation_day | target_size | extracted_at | subscription_type | ordered_at | hatchery_id | total_seed_type | hatchery_name | pond_name | pond_length | pond_width | pond_depth | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 18876 | 36294 | 1.0 | 331920 | 2022-10-14 00:00:00.000 | 2023-01-29 00:00:00.000 | NaN | 2022-10-14 12:34:23.000 | 2023-01-30 01:46:27.000 | 4030.00 | 0.0 | 2.00 | 110.0 | 35.0 | 2024-04-12 17:02:22.000 | Free | NaN | 66.0 | net | UD. Benur Ndaru Laut | H | 65.00 | 62.00 | 1.0 |
| 1 | 22118 | 37102 | 1.0 | 40000 | 2023-04-26 00:00:00.000 | 2023-06-23 00:00:00.000 | #TBR01 | 2023-04-30 22:28:13.000 | 2023-06-26 05:35:32.000 | 399.00 | 0.0 | 1.25 | 120.0 | 100.0 | 2024-04-12 17:02:22.000 | Free | NaN | 83.0 | net | CV Raja Benur | A1 | 30.00 | 20.00 | 1.0 |
| 2 | 24088 | 39154 | NaN | 357570 | 2023-08-01 00:00:00.000 | 2023-10-18 00:00:00.000 | #SiklusFarm | 2023-07-12 01:13:05.000 | 2023-10-19 04:23:11.000 | 2000.00 | 0.0 | 1.25 | 120.0 | 20.0 | 2024-04-12 17:02:22.000 | Free | 2023-07-12 01:13:05.000 | 1004.0 | gross | PT. Tri Karta Pratama - Total Kualitas Prima | A3 | 50.00 | 40.00 | 1.4 |
| 3 | 17743 | 20914 | 1.0 | 168275 | 2022-07-19 00:00:00.000 | 2022-09-29 00:00:00.000 | #SiklusCustomerPermadi | 2022-08-14 04:40:46.000 | 2022-10-06 00:09:36.000 | 1512.00 | 0.0 | 1.25 | 100.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 3.0 | actual | PT. Central Proteinaprima Tbk | B4 | 54.00 | 28.00 | 1.5 |
| 4 | 17125 | 34187 | 1.0 | 188000 | 2022-07-07 00:00:00.000 | 2022-09-20 00:00:00.000 | #SiklusTebar | 2022-07-12 00:24:30.000 | 2022-10-15 04:27:24.000 | 1225.00 | 0.0 | 1.25 | 100.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2022-07-12 00:24:30.000 | 35.0 | net | PT Windu Alam Sentosa | A | 35.00 | 35.00 | 1.2 |
| 5 | 28070 | 46261 | NaN | 200128 | 2023-12-20 00:00:00.000 | 2024-03-30 00:00:00.000 | NaN | 2023-12-12 04:54:37.000 | 2024-04-06 00:06:16.000 | 803.84 | 0.0 | 1.25 | 120.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2023-12-12 04:54:37.000 | NaN | actual | NaN | B8 | 32.00 | 32.00 | 1.5 |
| 6 | 26058 | 44147 | 1.0 | 148007 | 2023-10-02 00:00:00.000 | 2024-03-03 00:00:00.000 | #SiklusFarm | 2023-10-03 03:12:22.000 | 2024-03-08 03:46:12.000 | 1254.00 | 0.0 | 1.25 | 153.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2024-02-07 00:00:00.000 | 20.0 | net | PT. Maju Tambak Sumur | K4 | 34.64 | 34.65 | 1.3 |
| 7 | 26058 | 44147 | 1.0 | 148007 | 2023-10-02 00:00:00.000 | 2024-03-03 00:00:00.000 | #SiklusFarm | 2023-10-03 03:12:22.000 | 2024-03-08 03:46:12.000 | 1254.00 | 0.0 | 1.25 | 153.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2024-02-03 10:36:04.000 | 20.0 | net | PT. Maju Tambak Sumur | K4 | 34.64 | 34.65 | 1.3 |
| 8 | 24702 | 34746 | NaN | 439635 | 2023-07-19 00:00:00.000 | 2023-07-29 00:00:00.000 | NaN | 2023-08-08 10:55:46.000 | 2023-09-08 10:43:35.000 | 35.00 | 0.0 | 1.25 | 10.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | N13 | 7.00 | 5.00 | 1.0 |
| 9 | 24007 | 34746 | 2.0 | 501054 | 2023-07-08 00:00:00.000 | 2023-07-17 00:00:00.000 | NaN | 2023-07-10 07:08:53.000 | 2023-08-07 09:57:49.000 | 35.00 | 0.0 | 1.25 | 9.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | N13 | 7.00 | 5.00 | 1.0 |
| id | pond_id | species_id | total_seed | started_at | finished_at | remark | created_at | updated_at | area | initial_age | limit_weight_per_area | target_cultivation_day | target_size | extracted_at | subscription_type | ordered_at | hatchery_id | total_seed_type | hatchery_name | pond_name | pond_length | pond_width | pond_depth | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2607 | 17449 | 34490 | NaN | 380000 | 2022-07-02 00:00:00.000 | 2022-10-07 00:00:00.000 | NaN | 2022-07-28 03:33:46.000 | 2023-09-22 03:26:47.000 | 1056.0 | 0.0 | 1.25 | 120.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1000.0 | gross | AGAPE Hatchery | Dungkek1 | 33.00 | 32.00 | 1.8 |
| 2608 | 19614 | 33945 | NaN | 400000 | 2022-12-01 00:00:00.000 | 2023-02-17 00:00:00.000 | NaN | 2022-11-20 07:29:20.000 | 2023-02-21 10:04:55.000 | 699.9 | 0.0 | 4.00 | 100.0 | 45.0 | 2024-04-12 17:02:22.000 | Free | NaN | 24.0 | net | PT. Prima Larvae | Pond #1 | 30.00 | 30.00 | 1.5 |
| 2609 | 28726 | 45696 | 1.0 | 122400 | 2024-01-05 00:00:00.000 | 2024-03-26 00:00:00.000 | #TBRBanyuwangi2024 | 2024-01-08 01:33:32.000 | 2024-04-02 01:37:29.000 | 500.0 | 0.0 | 1.25 | 100.0 | 30.0 | 2024-04-12 17:02:22.000 | Free | NaN | 83.0 | gross | CV Raja Benur | A1 | 25.00 | 20.00 | 1.5 |
| 2610 | 25362 | 43578 | 1.0 | 221000 | 2023-10-16 00:00:00.000 | 2024-01-31 00:00:00.000 | NaN | 2023-09-07 04:00:41.000 | 2024-02-07 00:06:25.000 | 314.0 | 0.0 | 4.77 | 110.0 | 50.0 | 2024-04-12 17:02:22.000 | Free | 2023-09-07 04:52:05.000 | NaN | gross | NaN | Kolbun 3 | 20.00 | 20.00 | 1.2 |
| 2611 | 24771 | 42826 | 1.0 | 226284 | 2023-08-10 00:00:00.000 | 2023-11-13 00:00:00.000 | #SiklusFarm | 2023-08-10 03:03:54.000 | 2023-12-11 08:38:31.000 | 1400.0 | 0.0 | 1.25 | 120.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2023-08-10 03:03:54.000 | 20.0 | actual | PT. Maju Tambak Sumur | A1 | 40.00 | 35.00 | 1.2 |
| 2612 | 19131 | 34712 | 2.0 | 300000 | 2022-10-25 00:00:00.000 | 2023-01-21 00:00:00.000 | NaN | 2022-10-25 10:13:31.000 | 2023-01-25 08:01:19.000 | 4999.9 | 0.0 | 1.25 | 88.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | E01 | 70.71 | 70.71 | 1.5 |
| 2613 | 27552 | 45697 | 1.0 | 100000 | 2023-11-05 00:00:00.000 | 2024-02-13 00:00:00.000 | #TBR03 | 2023-11-18 03:43:40.000 | 2024-03-27 02:52:36.000 | 900.0 | 0.0 | 1.25 | 120.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2023-11-18 03:43:40.000 | 1022.0 | net | Windu Segara Anyar | Kolam 4 | 45.00 | 20.00 | 1.5 |
| 2614 | 27885 | 24570 | 1.0 | 30716 | 2023-12-02 00:00:00.000 | 2024-02-29 00:00:00.000 | #TBR05 | 2023-12-03 03:06:01.000 | 2024-03-03 03:03:26.000 | 86.0 | 0.0 | 1.25 | 120.0 | 20.0 | 2024-04-12 17:02:22.000 | Free | NaN | 83.0 | gross | CV Raja Benur | Bagus | 10.71 | 8.03 | 1.0 |
| 2615 | 15868 | 32398 | 1.0 | 150000 | 2022-04-28 00:00:00.000 | 2022-06-21 00:00:00.000 | #SiklusTebar | 2022-05-08 16:02:51.000 | 2022-08-23 03:12:20.000 | 1600.0 | 0.0 | 1.25 | 100.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | 2022-05-08 16:02:51.000 | 35.0 | gross | PT Windu Alam Sentosa | B 4.1 | 45.00 | 35.00 | 2.0 |
| 2616 | 20849 | 35913 | 1.0 | 384000 | 2023-02-09 00:00:00.000 | 2023-04-07 00:00:00.000 | NaN | 2023-02-14 00:23:40.000 | 2023-04-14 00:04:22.000 | 2915.0 | 0.0 | 1.25 | 100.0 | 40.0 | 2024-04-12 17:02:22.000 | Free | NaN | 83.0 | actual | CV Raja Benur | A4 | 55.00 | 53.00 | 1.7 |
Most frequently occurring
| id | pond_id | species_id | total_seed | started_at | finished_at | remark | created_at | updated_at | area | initial_age | limit_weight_per_area | target_cultivation_day | target_size | extracted_at | subscription_type | ordered_at | hatchery_id | total_seed_type | hatchery_name | pond_name | pond_length | pond_width | pond_depth | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 22780 | 40601 | 1.0 | 160500 | 2023-05-28 00:00:00.000 | 2023-08-15 00:00:00.000 | NaN | 2023-05-30 13:11:09.000 | 2023-08-15 10:55:45.000 | 999.0 | 0.0 | 1.25 | 120.0 | 35.0 | 2023-09-05 17:02:11.000 | Free | NaN | NaN | gross | NaN | A1 | 37.00 | 27.00 | 0.9 | 3 |
| 0 | 9545 | 22914 | NaN | 257400 | 2021-05-08 00:00:00.000 | 2021-07-15 00:00:00.000 | NaN | 2021-05-05 06:14:42.000 | 2022-06-08 06:20:58.000 | 1526.0 | 0.0 | 1.25 | 120.0 | 45.0 | 2024-04-12 17:02:22.000 | Free | 2021-05-05 06:25:18.000 | 4.0 | net | PT. Summa Benur | A1 | 44.72 | 33.54 | 1.4 | 2 |
| 1 | 15060 | 31033 | 1.0 | 4769 | 2022-03-21 00:00:00.000 | 2022-07-04 00:00:00.000 | NaN | 2022-03-21 13:58:04.000 | 2022-07-12 00:08:41.000 | 7.0 | NaN | 1.25 | 120.0 | 45.0 | 2024-04-12 17:02:22.000 | Free | NaN | 66.0 | actual | UD. Benur Ndaru Laut | Kolam 12 | 3.50 | 2.00 | 0.9 | 2 |
| 3 | 23326 | 34717 | 2.0 | 275000 | 2023-07-18 00:00:00.000 | 2023-12-22 00:00:00.000 | NaN | 2023-06-17 07:39:44.000 | 2023-12-27 17:52:49.000 | 4999.9 | 0.0 | 1.25 | 157.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | F01 | 70.71 | 70.71 | 1.5 | 2 |
| 4 | 23327 | 34719 | 2.0 | 275000 | 2023-07-19 00:00:00.000 | 2024-01-04 00:00:00.000 | NaN | 2023-06-17 07:39:45.000 | 2024-01-06 09:31:41.000 | 4999.9 | 0.0 | 1.25 | 169.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | F03 | 70.71 | 70.71 | 1.5 | 2 |
| 5 | 23328 | 34720 | 2.0 | 275000 | 2023-07-14 00:00:00.000 | 2024-01-03 00:00:00.000 | NaN | 2023-06-17 07:39:45.000 | 2024-01-06 10:53:02.000 | 4999.9 | 0.0 | 1.25 | 173.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | NaN | actual | NaN | F04 | 70.71 | 70.71 | 1.5 | 2 |
| 6 | 23329 | 34712 | 2.0 | 275000 | 2023-07-17 00:00:00.000 | 2024-01-02 00:00:00.000 | NaN | 2023-06-17 07:39:46.000 | 2024-01-04 09:53:15.000 | 4999.9 | 0.0 | 1.25 | 169.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | E01 | 70.71 | 70.71 | 1.5 | 2 |
| 7 | 23330 | 34713 | 2.0 | 275000 | 2023-07-17 00:00:00.000 | 2023-12-28 00:00:00.000 | NaN | 2023-06-17 07:39:46.000 | 2023-12-29 14:12:17.000 | 4999.9 | 0.0 | 1.25 | 164.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | E02 | 70.71 | 70.71 | 1.5 | 2 |
| 8 | 23331 | 34714 | 2.0 | 275000 | 2023-07-14 00:00:00.000 | 2023-12-26 00:00:00.000 | NaN | 2023-06-17 07:39:47.000 | 2023-12-29 14:15:29.000 | 4999.9 | 0.0 | 1.25 | 165.0 | 55.0 | 2024-04-12 17:02:22.000 | Free | NaN | 1020.0 | actual | MATERNIDADE NACALA | E03 | 70.71 | 70.71 | 1.5 | 2 |
| 9 | 23371 | 41507 | NaN | 490000 | 2023-05-16 00:00:00.000 | 2023-08-14 00:00:00.000 | NaN | 2023-06-18 08:17:26.000 | 2023-08-15 06:58:11.000 | 2106.0 | 0.0 | 1.25 | 100.0 | 45.0 | 2024-04-12 17:02:22.000 | Free | NaN | 23.0 | actual | PT. Suryawindu Pertiwi - Shrimp Hatchery | A2 | 54.00 | 39.00 | 1.2 | 2 |